Advice needed

This page summarizes the projects mentioned and recommended in the original post on /r/computervision

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  • yolact

    A simple, fully convolutional model for real-time instance segmentation.

  • The Github repo is not highly structured and is probably written during the time of the author's research. Been using this for well over a year and does the job so well.

  • segmentation_models.pytorch

    Segmentation models with pretrained backbones. PyTorch.

  • You could also use qubvel's segmentation models if you would like to explore semantic segmentation.

  • WorkOS

    The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.

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  • pytorch-image-models

    PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNet-V3/V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more

  • For classification, you could work with rwightman's repo.

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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